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Labelbox Academy: Learning the essentials

May 6th, 8am-11am PDT

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Gain a deeper understanding of how to use the Labelbox platform and optimize your training data operations.

Our Labeling Operations and ML Support Engineering teams will conduct in depth training sessions on key features and workflows that ensure our users are best leveraging our software.

You’ll learn how to:

The topics we’ll cover may be most relevant for customers who are in their first six months of using Labelbox or practitioners who are just learning about the platform.

Make labeling easier, faster, and more accurate with model-assisted labeling

Customize the labeling queue to prioritize labeling the most impactful data

Optimize project design and labeling tasks to produce high-quality training data that solves the most important problems


All times in PDT


Keynote - Peter Welinder, OpenAI


Introduction to Labelbox
Erin Liu, Labelbox | Rahul Sharma, Labelbox

See a live demo of some of the basic functionalities of our training data platform, including annotation tools and quality management features.

Automate labeling with your own model
JT Vega, Labelbox

Make labeling easier, faster, and more accurate with model-assisted labeling.




Customer use case spotlight
Niall Hendry, | Edward Kim, Sharper Shape | Sikha Das, CAPE Analytics

Learn directly from Labelbox customers as they give a brief overview of how they are approaching their machine learning initiatives.


Optimize project design
Audrey Smith, Labelbox | Lara Powollik, Labelbox

Learn how to design labeling tasks that ensure accuracy and consistency. We'll cover how to structure projects to improve labeling performance and reduce labeler cognitive load.

Design advanced workflows
Chris Amata, Labelbox

Learn how to use Labelbox features like queue management and QA tools to prioritize labeling the most impactful data, helping you save time, lower cost, and get to production faster.


A look ahead

Join us on the main stage to close out the day with a preview of new features we're excited to roll out to our customers.


  • Peter Welinder

    VP of Product and Partnerships, OpenAI

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  • Niall Hendry

    Head of Product,

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  • Edward Kim

    Data Analyst & Labeling Team Lead, Sharper Shape

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  • Sikha Das

    Senior Data Analyst, CAPE Analytics

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  • Audrey Smith

    Director of Labeling Operations, Labelbox

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  • Lara Powollik

    Machine Learning Data Lead, Labelbox

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  • Chris Amata

    Solutions Engineer,Labelbox

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  • Erin Liu

    Machine Learning Support Engineer, Labelbox

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  • Rahul Sharma

    Machine Learning Support Engineer, Labelbox

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  • JT Vega

    Lead Machine Learning Support Engineer, Labelbox

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